Miguel Cordon · · 1 min read

Mexico’s Atexto used this deck to secure $500k in a bridge round of funding

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Founded in 2016, Atexto uses machine learning to create, collect, and transcribe audio to train voice assistants. It aims to help companies improve their own speech recognition engines.

The Mexican startup’s tech is compatible with all automatic speech recognition services, such as those offered by Otter, VoiceBase, Amazon Web Services, Microsoft, and Google.

Atexto secured additional capital from a bridge round using this deck. To date, the company has raised over US$1 million in disclosed funding.

Fundraising journey

  • 2017: Undisclosed amount in a seed round from 500 Startups
  • 2018: Undisclosed amount in a seed round from Dux Capital
  • 2019: US$500,000 in a bridge round from Dux Capital, Redwood Ventures, Avalancha Ventures, MC Capital, Innogen Capital, Poligono Capital, and some angel investors

How is the deck compelling?

  • It displays what Atexto is at the beginning of the deck.
  • It provides simple use case examples in audio transcription and market size possibility.
  • The deck shows how and why Atexto performs better compared to other similar systems with less funds in its pocket.
  • The presentation displays their unit economics and current company revenue.

SOURCE

Deck: Starthouse

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To date, the company has raised over US$1 million in disclosed funding.

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